AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...
Public experiment log using Get Physics Done (GPD) with Codex to explore predictive control of tokamak plasma turbulence and confinement. A physics-based flight simulator for optimizing airbrake ...
Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...
New data-driven tools give employers an edge in preventing injuries, improving compliance, and optimizing safety protocols before accidents occur. Workplace safety is a nuanced topic. The specific ...
Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this ...
The commercial real estate industry is entering a new wave of innovation amid the rise of AI and data science. According to a recent JLL report, AI and generative AI are among the top three ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
Abstract: To address the issue of weak robustness caused by parameter mismatches in model predictive control (MPC), model-free predictive control is widely adopted in motor driving systems. This ...
A familiar adage in the competitive sports world. It’s a term coined by a person not associated with sports, but who knew a few things about adverse circumstances a little more challenging than ...
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